Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Amazon reviews content using keywords or domains.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
How Datastreamer works
Quickly enrich Bright Data Amazon Reviews with Cloud Run Functions with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.
Add Datastreamer components to your data stack and explore its full capabilities
